Computational Biologist: AI-Driven Bioinformatics (Hybrid)

IDENER.AI; Sevilla; Híbrido; EUR 42.000 - 64.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Impactful work

Professional growth

Flexible hours

Hybrid work

Career advancement

Descripción de la vacante

IDENER.AI is seeking a passionate Researcher in Computational Biology & Bioinformatics to join our R&D team. You will work at the intersection of data science, AI, and biotechnology to develop models translating complex biological data into actionable solutions for industrial and environmental sectors.

You will collaborate with wet-lab scientists, design computational experiments, and contribute to cutting-edge AI-driven tools while disseminating results through reports and publications.

Formación

• MSc in Bioinformatics or related field or equivalent.
• Strong foundation in biochemistry, microbiology and genomics.
• Proficiency in Python, R or C++ for data analysis and statistics.
• Sharp analytical thinking and ability to learn emerging technologies.
• Excellent communication and collaboration in multicultural teams.
• Excellent written and spoken English for international projects.

Responsabilidades

• Genome-scale metabolic modeling: build, curate, validate models and set objectives.
• Design and optimize algorithms to analyze multi-omics datasets.
• Run computational experiments and validate results rigorously.
• Collaborate with wet-lab scientists to integrate data into pipelines.
• Contribute to AI-driven tools for biological data interpretation.
• Prepare reports, present findings at conferences, co-author papers.
• Stay updated on bioinformatics and AI advances to push innovation.

Conocimientos

Python

R

C++

Statistics

Bioinformatics

Educación

MSc in Bioinformatics or related field

Descripción del empleo

IDENER.AI is seeking a passionate Researcher in Computational Biology & Bioinformatics to join our R&D team. You will work at the intersection of data science, AI, and biotechnology to develop models translating complex biological data into actionable solutions for industrial and environmental sectors.

You will collaborate with wet-lab scientists, design computational experiments, and contribute to cutting-edge AI-driven tools while disseminating results through reports and publications.